{"id":"W4285500422","doi":"10.1016/j.chemosphere.2022.135709","title":"Synthesis and study of CuNiTiO3 as an ORR electrocatalyst to enhance microbial fuel cell efficiency","year":2022,"lang":"en","type":"article","venue":"Chemosphere","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"University of Tabriz; University of Northern British Columbia","keywords":"Microbial fuel cell; Faraday efficiency; Electrocatalyst; Cathode; Electrode; Materials science; Graphite; Chemical engineering; Power density; Chemical oxygen demand; Electrochemistry; Chemistry; Wastewater; Anode; Environmental engineering; Composite material; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264002,0.0001503445,0.0002065499,0.0001670421,0.0002058199,0.0001862957,0.000231311,0.0002299643,0.0005953358],"category_scores_gemma":[0.0001619213,0.00008757036,0.0002163602,0.0001769828,0.000176047,0.0001831031,0.0001480694,0.0002346105,0.0001292985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350695,"about_ca_system_score_gemma":0.0002617135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157683,"about_ca_topic_score_gemma":0.004502007,"domain_scores_codex":[0.9999309,0.000007843589,0.000003670534,0.00001469579,0.00002355114,0.00001928455],"domain_scores_gemma":[0.9999688,0.000006064789,0.000005236323,0.000004562766,0.000009593717,0.000005819471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007663674,0.00003204416,0.0001485761,0.00008246879,0.000007933582,0.00008398322,0.00003593276,0.0005227857,0.99571,0.0004780761,0.00007074726,0.002750731],"study_design_scores_gemma":[0.000007080517,0.0000931429,0.0007449522,0.00000314572,0.000008342188,0.00004016432,0.00001724904,0.002832691,0.9949226,0.00006001612,0.001265086,0.000005515743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992254,0.0009475338,0.003304715,0.0001016581,0.00002454305,0.00003468077,0.00008565142,0.00004592458,0.003201392],"genre_scores_gemma":[0.9962015,0.0003490147,0.002208669,0.00002056715,0.000005181151,0.000008329627,0.00006026372,0.00001528058,0.001131112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003157683,"threshold_uncertainty_score":0.006278574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004122931400611793,"score_gpt":0.2085484490764525,"score_spread":0.2044255176758407,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}